
Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform
Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.
About AISpire360
We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.
The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.
We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.
What You'll Own
You are the technical anchor for the voice agent. You will be responsible for:
Real-time voice system
- Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
- STT and TTS configuration, voice tuning, language and accent handling
- Turn-taking, barge-in, end-of-speech detection, latency budgets
- Driving end-to-end voice latency below 700ms (we currently target 600ms)
- Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
- Silence-detection optimization for outbound calls (95% silence-discount realization)
HIPAA + PHI infrastructure
- BAA-compliant hosting architecture (AWS-based, BAA in place)
- PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
- Encryption in transit and at rest, audit logging, 7-year retention compliance
- Access controls, RBAC, kill-switch infrastructure
- HIPAA Security Rule compliance for technical safeguards
Agent orchestration and tools
- LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
- Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
- Multi-turn conversation state management
- Multi-topic call handling and structured task generation
- Safety-critical keyword detection and escalation routing
Integrations
- EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
- Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
- Calendar integration (Google Calendar, Microsoft 365, Cal.com)
- SMS and email gateways (Twilio, SendGrid)
- Practice-specific webhooks for task manager surfacing
Multi-tenant platform foundations
- Per-practice configuration loading (specialty profile + practice profile)
- Per-tenant isolation, data segregation
- Specialty-specific intake schemas, triage rules, safety keywords
- Production observability (tracing, metrics, latency monitoring per practice)
Required Experience
You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:
- 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
- Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
- HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
- AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
- AWS Comprehend Medical or equivalent PHI detection experience.
- Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
- Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
- LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
- Python or TypeScript fluency. Production code, not scripts.
- API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).
Nice to Have
- Healthcare domain experience (EHRs, clinical workflows, medical terminology)
- Prior auth or eligibility verification workflow experience
- Multi-tenant SaaS architecture experience
- SOC 2 audit experience
- Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
- Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
- Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)
What This Engagement Looks Like
- Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
- Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
- Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
- You sign a BAA with us. This is non-negotiable due to the nature of the work.
- You are eligible for future equity grants as we formalize the team structure.
- Direct working relationship with our CTO (London-based) and founders (NYC and India).
- Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.
How We'll Evaluate You
Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.
- Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
- Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
- System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
- Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.
Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.
What We Will NOT Accept
- Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
- Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
- "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
- Engagement structures that conflict with this being your primary work.
How to Apply
Send a brief message with:
- A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
- Two or three sentences on why this role fits you specifically — not a generic cover letter.
- Your current compensation expectation in USD per month.
- Your earliest start date and current time-zone availability.
We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

About AIspire360 Inc
About
Company social profiles
Similar jobs
Job Title: Full-Stack MERN Developer (5–8 Years Experience)
Location: Borivali, Mumbai (Onsite)
Experience: 6–8 Years
Joining: Immediate Joiners
Employment Type: Full-time
Job Overview
We are looking for an experienced Full-Stack MERN Developer to join our engineering team in Borivali, Mumbai. The ideal candidate should have strong hands-on experience building scalable web applications using React, Node.js, Express, and MongoDB, with a solid understanding of REST APIs, microservices architecture, performance optimization, and cloud infrastructure.
You will work on consumer-facing applications, handle large datasets, and contribute to building reliable, high-performance systems.
Key Responsibilities
- Design, develop, and maintain full-stack web applications using MERN stack
- Build scalable and secure RESTful APIs and backend services using Node.js & Express
- Develop reusable and high-performance React components with proper state management
- Implement microservices-based architecture and inter-service communication
- Optimize application performance at both frontend and backend levels
- Work with MongoDB for data modeling, indexing, and performance tuning
- Handle large datasets efficiently and ensure system reliability
- Implement logging, tracing, and monitoring for production-ready applications
- Collaborate with product, frontend, backend, and DevOps teams
- Write clean, maintainable, and well-documented code
Technical Requirements
Backend
- Strong hands-on experience with Node.js & Express.js
- Expertise in building REST APIs and backend business logic
- Strong understanding of async programming (Callbacks, Promises, Async/Await)
- Experience with microservices architecture
- Hands-on experience with MongoDB (Expert level)
- Working knowledge of PostgreSQL / MySQL
- Experience with Kafka or other message queue systems
- Familiarity with Bull / job schedulers
Frontend
- Strong experience with React.js
- Hands-on experience with state management (Redux, Context API, or similar)
- Good understanding of HTML, CSS, AJAX
- Experience with performance optimization techniques in React
Infrastructure & Cloud
- Experience with Docker and Kubernetes (K8s)
- Hands-on exposure to AWS services such as EC2, S3, ELB, AutoScaling, CloudFront
- Understanding of CI/CD pipelines is a plus
Core Computer Science
- Good understanding of Data Structures & Algorithms
- Solid knowledge of Operating Systems fundamentals
Good to Have
- Experience with Redis for caching
- Exposure to Vue.js
- Experience working on consumer-facing web or app products
- Strong debugging and problem-solving skills
- Familiarity with application monitoring tools (logs, metrics, tracing)
What We’re Looking For
- Strong problem-solving mindset and ownership attitude
- Ability to learn new tools and technologies quickly
- Comfortable working in fast-paced, production-driven environments
- Immediate or short-notice joiners preferred
Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)
Experience : 5 to 10 Years
Location : Bengaluru, India
Employment Type : Full-Time | Onsite
Role Overview :
We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.
In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.
Mandatory Skills :
Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).
Key Responsibilities :
- Architect, design, and develop scalable full-stack applications for data and AI-driven products.
- Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
- Deploy, integrate, and scale ML/AI models in production environments.
- Drive system design, architecture discussions, and API/interface standards.
- Ensure engineering best practices across code quality, testing, performance, and security.
- Mentor and guide junior developers through reviews and technical decision-making.
- Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
- Monitor, diagnose, and optimize performance issues across the application stack.
- Maintain comprehensive technical documentation for scalability and knowledge-sharing.
Required Skills & Experience :
- Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
- Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
- Full Stack Proficiency :
- Front-end : React / Angular / Vue.js
- Back-end : Node.js / Python / Java
- Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
- AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
- Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
- Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
- Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).
Soft Skills :
- Excellent communication and cross-functional collaboration skills.
- Strong analytical mindset with structured problem-solving ability.
- Self-driven with ownership mentality and adaptability in fast-paced environments.
Preferred Qualifications (Bonus) :
- Experience deploying distributed, large-scale ML or data-driven platforms.
- Understanding of data governance, privacy, and security compliance.
- Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
- Experience working in Agile environments (Scrum/Kanban).
- Active open-source contributions or a strong GitHub technical portfolio.
ROLE: Ai ML Senior Developer
Exp: 5 to 8 Years
Location: Bangalore (Onsite)
About ProductNova
ProductNova is a fast-growing product development organization that partners with
ambitious companies to build, modernize, and scale high-impact digital products. Our teams
of product leaders, engineers, AI specialists, and growth experts work at the intersection of
strategy, technology, and execution to help organizations create differentiated product
portfolios and accelerate business outcomes.
Founded in early 2023, ProductNova has successfully designed, built, and launched 20+
large-scale, AI-powered products and platforms across industries. We specialize in solving
complex business problems through thoughtful product design, robust engineering, and
responsible use of AI.
Product Development
We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply
aligned with business goals and long-term value creation.
Our end-to-end product development approach covers the full lifecycle:
1. Product discovery and problem definition
2. User research and product strategy
3. Experience design and rapid prototyping
4. AI-enabled engineering, testing, and platform architecture
5. Product launch, adoption, and continuous improvement
From early concepts to market-ready solutions, we focus on building products that are
resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with
customers to iterate based on user feedback and expand products across new use cases,
customer segments, and markets.
Growth & Scale
For early-stage companies and startups, we act as product partners—shaping ideas into
viable products, identifying target customers, achieving product-market fit, and supporting
go-to-market execution, iteration, and scale.
For established organizations, we help unlock the next phase of growth by identifying
opportunities to modernize and scale existing products, enter new geographies, and build
entirely new product lines. Our teams enable innovation through AI, platform re-
architecture, and portfolio expansion to support sustained business growth.
Role Overview:
We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.
Key Responsibilities:
1. Model Analysis & Optimization
Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.
2. AI Product Design & Development
Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.
3. Prompt Engineering & Response Quality
Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.
4. AI Service Integration
Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.
5. AI-Assisted Development Productivity
Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.
6. Cross-Functional Collaboration
Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.
7. Model Monitoring & Continuous Improvement
Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.
Qualifications:
1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.
2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.
3. Proven experience building, training, and deploying chatbots or conversational AI systems.
4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.
5. Solid programming experience in Python, with strong problem-solving and development fundamentals.
6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).
7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.
9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.
Why Join Us
• Build cutting-edge AI-powered B2B SaaS products
• Own architecture and technology decisions end-to-end
• Work with highly skilled ML and Full Stack teams
• Be part of a fast-growing, innovation-driven product organization
If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.
Job Title: Full Stack Engineer (Django + Next.js)
We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.
Must-Have
• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers
• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind
• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows
• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed
• Celery / async tasks: Retry logic, idempotency, task chaining
• Git: Clean commits, branching, PR workflow
Good to Have
• AI / LLM integrations
• AWS S3 and presigned uploads
• Multi-tenancy
• WebRTC / MediaRecorder
• Docker
• Testing with pytest / Django TestCase / factory_boy
We’re looking for someone who can independently own features end-to-end and write clean, scalable code.
We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.
This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.
What You’ll Do
- Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
- Develop backend services using Python, Node.js, or Golang
- Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
- Create scalable APIs, handle call logic, and build AI pipelines
- Collaborate with the founder and early team on product strategy and infrastructure
- Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)
Must-Have Skills
- Strong programming experience in Python, Node.js, or Go
- Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
- Experience integrating with LLM APIs, OpenAI, or speech-to-text models
- Solid understanding of backend design, Docker, Redis, PostgreSQL
- Ability to work independently and deliver production-grade code
Nice to Have
- Familiarity with LangChain or agent-based AI systems
- Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
- Interest in building scalable cloud-first SaaS products
Work Setup
- 🏠 Remote work (India-based, must be reachable for meetings)
- 🕐 Full-time role
- 💼 Direct collaboration with founder (technical)
- 🧘♂️ Flexible hours, strong ownership culture
About CoPoint AI
CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.
Our Vision
We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack
Our Values
- Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
- In Partnership: With our Team, For our Clients, In our communities.
- Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.
Role Overview
As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.
Key Responsibilities
- Lead design and implementation of end-to-end data, AI, and web application solutions
- Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
- Develop and optimize secure, scalable APIs and microservices using cloud-native principles
- Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
- Guide teams in AI-assisted software development lifecycle improvements
- Build frameworks for responsible AI governance and model monitoring
- Comprehensive understanding of the AI solution landscape
- Leadership experience in AI-enabled digital transformation initiatives
- Expertise in AI adoption strategies and change management
- Ability to translate AI capabilities into measurable business value
- Design multi-model architectures combining analytics, AI, and web experiences
- Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
- Manage project work streams and lead cross-functional delivery teams
- Cultivate and manage client relationships, providing strategic and technical guidance
- Identify and propose innovation opportunities through data and digital experiences
- Mentor junior developers, analysts, and consultants
- Ensure high quality and consistency in solution delivery and user experience
Qualifications
- Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI).
- Proven experience implementing enterprise AI solutions on Azure
- Advanced knowledge of large language models and their business applications
- Expertise in AI-enhanced software development methodologies
- Experience with AI model evaluation, validation, and responsible deployment
- Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services
- Experience integrating AI into existing enterprise applications and data platforms
- Experience managing client expectations and delivering high-quality solutions
- Strong technical leadership and problem-solving capabilities
- Excellent communication and presentation skills
- Ability to anticipate client needs and propose strategic solutions
What should You expect:
- A culture of continuous learning with certification support.
- Clear career advancement pathways.
- Competitive compensation and benefits.
- Flexible work arrangements.
- A collaborative environment that values innovation and creativity.
Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.
Location: Hybrid/ Remote
Openings: 5
Experience: 0 - 2Years
Qualification: Bachelor’s or Master’s in Computer Science or a related technical field
Key Responsibilities:
Backend Development & APIs
- Build microservices that provide REST APIs to power web frontends.
- Design clean, reusable, and scalable backend code meeting enterprise security standards.
- Conceptualize and implement optimized data storage solutions for high-performance systems.
Deployment & Cloud
- Deploy microservices using a common deployment framework on AWS and GCP.
- Inspect and optimize server code for speed, security, and scalability.
Frontend Integration
- Work on modern front-end frameworks to ensure seamless integration with back-end services.
- Develop reusable libraries for both frontend and backend codebases.
AI Awareness (Preferred)
- Understand how AI/ML or Generative AI can enhance enterprise software workflows.
- Collaborate with AI specialists to integrate AI-driven features where applicable.
Quality & Collaboration
- Participate in code reviews to maintain high code quality.
- Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.
Required Skills:
- Proficiency in JavaScript (ES6+), Webpack, Mocha, Jest
- Experience with recent frontend frameworks – React.js, Redux.js, Node.js (or similar)
- Deep understanding of HTML5, CSS3, SASS/LESS, and Content Management Systems
- Ability to design and implement RESTful APIs and understand their impact on client-side applications
- Familiarity with cloud platforms (AWS, Azure, or GCP) – deployment, storage, and scalability
- Experience working with Agile and Scrum methodologies
- Strong backend expertise in Java, J2EE, Spring Boot is a plus but not mandatory
We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further
Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)
Our Accreditations -
- 25 years of industry presence
- Salesforce Partner
- ISO 27001:2019 certified
- Great Place to Work certified
- HIPAA Compliant
- SOC2 Compliant
- NASSCOM Member
Our EVP (Employee Value proposition)
- We are a Great place to work certified company.
- 30 Earned Leaves during calendar Year
- Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
- Performance bonus & Loyalty Bonus Benefits
- 5 Days working
- Rewards and Recognition programs
- Standard Salary as per market norms
- Equal career opportunities, No discrimination
- Magnificent & Dynamic Culture
- Festival celebrations & fun events
Explore more : https://techwize.com/, https://mangalaminfotech.com/
Position: AI/Sr. AI Engineer
Job location: Ahmedabad
Experience: 4+ years
Job Overview:
We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.
Key Responsibilities:
- Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
- Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
- Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
- Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
- Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
- Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
- Optimize models for performance, cost-efficiency, and low latency in production.
- Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
- Mentor junior AI engineers and contribute to internal AI best practices and documentation.
Required Skills & Qualifications:
- Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
- 4+ years of hands-on experience in AI/ML solution development.
- Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
- Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
- Proficient in key AI libraries and frameworks:
- LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
- NLP: SpaCy, NLTK.
- Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
- MLOps: MLflow, FastAPI, Docker, Git
- Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
- Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
- Strong communication skills and ability to convert business problems into technical solutions.
About Us:
We are an innovative tech company focusing on cutting-edge AI projects. Our mission is to create impactful AI solutions that transform industries and enhance user experiences. We are looking for a skilled Python Developer to join our dynamic team and contribute to the development of AI-powered applications.
Responsibilities:
Develop, test, and deploy scalable AI and machine learning models using Python.
Collaborate with data scientists and AI engineers to integrate models into production systems.
Write efficient, reusable, and scalable code for AI applications and pipelines.
Optimize existing Python codebases for performance and scalability.
Design and implement APIs and microservices to support AI-driven features.
Debug and resolve issues in AI systems and pipelines.
Stay updated with the latest advancements in AI and Python development trends.
Are you someone who never intended to play it safe and wants to challenge the status quo in every nook and corner of your life? Do you want to make the maximum utilization of your skills and knowledge? Would you want every decision and move that you make should have a big impact on the company for the better (even if it doesn't, we're a bunch of people who will give you the room to fail and learn from it)? The read on...
We are a start-up into online personal styling & fashion.
We are looking for a core team member as a CTO or Head of Technology. It is much more than a job and the main goals in the first few months will be to build the Android App for the Company, & the Technology team & its strategy, manage systems, and its maintenance regularly. Knowledge of AI & ML is a must. As this product needs to be build AI/ML ready
Don't expect a high salary as this is more of a hands-on plus management role with the right equity that can be provided based upon your performance.













